1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.02
## LDevsum       1.02       1.05
## dh0           2.36       3.84
## dh1           5.65      11.83
## dh2           3.62       7.09
## dl0           1.62       2.49
## dl1           2.70       5.11
## dl2           2.89       5.27
## dl3           1.22       1.57
## 
## Multivariate psrf
## 
## 4.85

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.02
## LDevsum       1.02       1.06
## dh0           4.37       7.72
## dh1           7.31      12.81
## dh2           3.59       6.71
## dl0           1.42       2.11
## dl1           1.42       2.07
## dl2           1.12       1.33
## dl3           2.24       3.69
## 
## Multivariate psrf
## 
## 7.27

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results